Suppose you have an imbalanced dataset where we have the following classes a...
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Suppose you have an imbalanced dataset where we have the following classes and prior probabilities:
- A: 0.6
- B: 0.1
- C: 0.25
- D: 0.05
What is the value of the best accuracy that a dummy classifier would get?
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